Llama 3.2 1B Instruct on TPU v4, bumping transformers to 4.45.2 #109
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Note that the two new test are just manual test, not pytests. The rope implementation is unvalidated - we just pray and are happy that it still generates tokens XD
tengomucho
reviewed
Oct 21, 2024
tests/akg.py
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| next_token_id = torch.argmax(next_logits, dim=-1)[:, None].int() | ||
| return next_token_id | ||
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| def _test_distributed_model_generation(model_id, max_new_tokens=20): |
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for tests, please create one test similar to tests/test_distributed_model.py (or modify the existing one). To launch it, you can use pytest: python -m pytest -sv /path/to/test_mytest.py::test_my_test_function.
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Added llama3 rope_type implementation and changed default model to Llama 3.2 1B Instruct.
Create an adaptation of the HF transformer's llama3 rope_type implementation in modeling_llama.py.
Updated the dependency to the current transformer library version 4.45.2.
Added more logging to distributed_model.py as the TPU v4-8 vms love to hang at random places when running this code.
Fixes #80
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